Skip to content
View fangyixiao18's full-sized avatar
💢
Keep Moving
💢
Keep Moving
41 followers · 8 following
  • StepFun
  • Shanghai
  • 12:49 (UTC +08:00)

Achievements

Achievement: Starstruckx3Achievement: Pair Extraordinairex3Achievement: Galaxy BrainAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Starstruckx3Achievement: Pair Extraordinairex3Achievement: Galaxy BrainAchievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Block or report fangyixiao18

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
fangyixiao18/README.md

Currently @ StepFun.

💻 Worked in Huawei / Shanghai AI Lab / Alibaba / Tencent before.

🎓 Graduated from HUST / CMU.

🤔 Interested in self-supervised learning, large language models, multi-modality models, diffusion models, etc.

Google scholar

Pinned Loading

  1. OneIG-Bench/OneIG-Benchmark OneIG-Bench/OneIG-Benchmark Public

    [NeurIPS 2025 DB] OneIG-Bench is a meticulously designed comprehensive benchmark framework for fine-grained evaluation of T2I models across multiple dimensions, including subject-element alignment,…

    Python 95 8

  2. TencentQQGYLab/ELLA TencentQQGYLab/ELLA Public

    ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

    Python 1.3k 64

  3. open-mmlab/mmpretrain open-mmlab/mmpretrain Public

    OpenMMLab Pre-training Toolbox and Benchmark

    Python 3.8k 1.1k

  4. open-compass/opencompass open-compass/opencompass Public

    OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

    Python 6.5k 720